Triple
T1005848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CinemaScope |
E21708
|
entity |
| Predicate | soundFormatInitiallyUsed |
P3514
|
FINISHED |
| Object | four-track magnetic stereo |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: four-track magnetic stereo | Statement: [CinemaScope, soundFormatInitiallyUsed, four-track magnetic stereo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: soundFormatInitiallyUsed Context triple: [CinemaScope, soundFormatInitiallyUsed, four-track magnetic stereo]
-
A.
soundReproductionMethod
chosen
Indicates the method or technique used to reproduce or play back sound.
-
B.
soundRecordingSpeed
Indicates the recording speed at which an audio recording was captured or is intended to be played back.
-
C.
soundCarrier
Indicates that one entity serves as a medium or object that carries, stores, or transmits sound for another entity.
-
D.
signatureSound
Indicates that something has a distinctive, characteristic sound that uniquely identifies it.
-
E.
radioFormat
Indicates the specific type or style of radio programming or broadcast format associated with an entity.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a493c53e648190ae8cb76c433fd9a7 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b51303548190a5ee3c0797fc3245 |
completed | March 1, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69a4b2b2e7108190b338b6c19d4aff55 |
completed | March 1, 2026, 9:42 p.m. |
Created at: March 1, 2026, 7:41 p.m.